Pub Date : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581907
Hala Hatoum
This paper explores societal perceived gender differences and their effects on female entrepreneurship. Entrepreneurship as a phenomenon that is rooted in the social and geo-cultural environments has been consistently documented in the literature. Furthermore, societal perceived gender differences are increasingly emphasized as strong influencers of entrepreneurial engagement around the globe, for both male and female entrepreneurs. However, the effect of these societal assigned roles are more pronounced in the case of female entrepreneurs, who according to the literature, deal with the magnified effects of such gender roles and the disadvantages brought about by the social setting in their place of business. This paper reflects on these issues through conducting one-on-one in depth interviews with 30 female entrepreneurs in the Kingdom of Bahrain. As a result of the study, the following aspects are identified as major factors affecting female entrepreneurship namely 1) economic conditions and 2) societal attitudes.
{"title":"Investigating The Effects Of Societal Perceived Gender Differences On Female Entrepreneurship - Case of Bahrain","authors":"Hala Hatoum","doi":"10.1109/3ICT53449.2021.9581907","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581907","url":null,"abstract":"This paper explores societal perceived gender differences and their effects on female entrepreneurship. Entrepreneurship as a phenomenon that is rooted in the social and geo-cultural environments has been consistently documented in the literature. Furthermore, societal perceived gender differences are increasingly emphasized as strong influencers of entrepreneurial engagement around the globe, for both male and female entrepreneurs. However, the effect of these societal assigned roles are more pronounced in the case of female entrepreneurs, who according to the literature, deal with the magnified effects of such gender roles and the disadvantages brought about by the social setting in their place of business. This paper reflects on these issues through conducting one-on-one in depth interviews with 30 female entrepreneurs in the Kingdom of Bahrain. As a result of the study, the following aspects are identified as major factors affecting female entrepreneurship namely 1) economic conditions and 2) societal attitudes.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134502955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581575
Ousmane W. Compaore, G. Hoblos, Z. Koalaga
Throughout this article, we have identified an electrical model based on Bishop's one that mathematically even represents the actual behavior of a PV cell heavily involved in the production of a PV generator (PVG). It turns out that the performance of PVG is intrinsically linked to operating, manufacturing or environmental conditions. The nonlinear model that we have retained due to the atypical behavior of the semiconductors used in the manufacture of the panels, reveals to us faults requiring an efficient diagnosis. We present some results of simulations under Matlab, which characterize the impact and influence of certain PVG faults on the performance of the studied system. The good operating prospects resulting from the simulation results are very encouraging for further work in the field of fault diagnosis and prognosis.
{"title":"Analysis of the impact of faults in a photovoltaic generator","authors":"Ousmane W. Compaore, G. Hoblos, Z. Koalaga","doi":"10.1109/3ICT53449.2021.9581575","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581575","url":null,"abstract":"Throughout this article, we have identified an electrical model based on Bishop's one that mathematically even represents the actual behavior of a PV cell heavily involved in the production of a PV generator (PVG). It turns out that the performance of PVG is intrinsically linked to operating, manufacturing or environmental conditions. The nonlinear model that we have retained due to the atypical behavior of the semiconductors used in the manufacture of the panels, reveals to us faults requiring an efficient diagnosis. We present some results of simulations under Matlab, which characterize the impact and influence of certain PVG faults on the performance of the studied system. The good operating prospects resulting from the simulation results are very encouraging for further work in the field of fault diagnosis and prognosis.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132181159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581553
Y. Syaifudin, N. Funabiki, M. S. F. Ruslan, Devany C. Wijaya, Ikhlaashul Mu'aasyiqiin, Abdul Rahman Patta
Recently, Android programming educations have become important in IT departments in universities due to the strong market demands. The Android Programming Learning Assistance System (APLAS) is a self-learning platform for Android programming. It provides assignments to students where the correctness of their answers can be checked automatically using unit testing tools through a web application. For each assignment in APLAS, students need to submit multiple files with the correct configuration as one project. However, many students cause errors in the current implementation of submitting one by one the files in the Android project made using Android Studio. In this paper, we implement two submission methods for reducing errors in APLAS. The zip-file method makes the zipped file of the Android project to be submitted. The GitHub-link method synchronizes the files in the Android project through the URL of the GitHub project. For evaluations, we asked 40 students to solve three assignments in APLAS and submit the answer files by freely choosing one method. The results show that the zip-file method was most popular and the GitHub-link method produced least errors.
{"title":"Implementations of Two Answer Submission Methods for Reducing Errors in Android Programming Learning Assistance System","authors":"Y. Syaifudin, N. Funabiki, M. S. F. Ruslan, Devany C. Wijaya, Ikhlaashul Mu'aasyiqiin, Abdul Rahman Patta","doi":"10.1109/3ICT53449.2021.9581553","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581553","url":null,"abstract":"Recently, Android programming educations have become important in IT departments in universities due to the strong market demands. The Android Programming Learning Assistance System (APLAS) is a self-learning platform for Android programming. It provides assignments to students where the correctness of their answers can be checked automatically using unit testing tools through a web application. For each assignment in APLAS, students need to submit multiple files with the correct configuration as one project. However, many students cause errors in the current implementation of submitting one by one the files in the Android project made using Android Studio. In this paper, we implement two submission methods for reducing errors in APLAS. The zip-file method makes the zipped file of the Android project to be submitted. The GitHub-link method synchronizes the files in the Android project through the URL of the GitHub project. For evaluations, we asked 40 students to solve three assignments in APLAS and submit the answer files by freely choosing one method. The results show that the zip-file method was most popular and the GitHub-link method produced least errors.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124160889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581767
Devany C. Wijaya, Y. Syaifudin, R. Ariyanto, N. Funabiki, M. S. F. Ruslan, Ikhlaashul Mu'aasyiqiin
Recently, Android-based smartphones have become the market leader for mobile devices. Thus, the need for Android application developers has increased significantly. Following this trend, many schools and universities set up Android application programming to become the mandatory subject for IT students. In Android applications, utilizing data is necessary to make dynamic and interactive applications. Based on previous studies, the Android Programming Learning Assistance System (APLAS) has been applied as a self-learning platform for Android programming studies. In this paper, we implement the Basic Data Storage learning topic in APLAS as the first topic in the Content Provider stage (second stage). It offers learning materials and assignments for the Model-View-Viewmodel (MVVM) architecture with data binding, the utilization of Shared Preferences, and storing data in internal storage. The results of evaluation through 50 students of an IT department showed that all students have solved all assignments successfully. With the domination of positive comments from them, the effectiveness of this learning topic to support Android programming learning was confirmed.
{"title":"An Implementation and Evaluation of Basic Data Storage Topic for Content Provider Stage in Android Programming Learning Assistance System","authors":"Devany C. Wijaya, Y. Syaifudin, R. Ariyanto, N. Funabiki, M. S. F. Ruslan, Ikhlaashul Mu'aasyiqiin","doi":"10.1109/3ICT53449.2021.9581767","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581767","url":null,"abstract":"Recently, Android-based smartphones have become the market leader for mobile devices. Thus, the need for Android application developers has increased significantly. Following this trend, many schools and universities set up Android application programming to become the mandatory subject for IT students. In Android applications, utilizing data is necessary to make dynamic and interactive applications. Based on previous studies, the Android Programming Learning Assistance System (APLAS) has been applied as a self-learning platform for Android programming studies. In this paper, we implement the Basic Data Storage learning topic in APLAS as the first topic in the Content Provider stage (second stage). It offers learning materials and assignments for the Model-View-Viewmodel (MVVM) architecture with data binding, the utilization of Shared Preferences, and storing data in internal storage. The results of evaluation through 50 students of an IT department showed that all students have solved all assignments successfully. With the domination of positive comments from them, the effectiveness of this learning topic to support Android programming learning was confirmed.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115052197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581461
Marco P. L. Costa, E. Araujo
The financial fraud risk assessment requires expertise concerning the audit methodology and the risk assessment of business processes. The assessment of financial fraud risks is a significant challenge for independent, external auditors chiefly when dealing with the audit in an information technology (IT) environment. A meta-analysis financial fraud risk governance model taking into account an IT environment and based on fuzzy inference system is proposed in this paper. The fuzzy set theory and fuzzy logic are employed to deal with actual business audits, which do not always concern dichotomic fraud risk conditions. The inputs of the proposed fuzzy financial fraud risk governance system concern meta-analysis input factors related to the fundamental domains of risk in IT audit comprising the (i) effective identity and access protocol, (ii) system development, (iii) control of business operations, and (iv) change in systems or applications. Results demonstrate that the proposed approach enables supporting the operational risk management to promote the operational efficiency by identifying, measuring, and disclosing events (risk conditions) both in terms of qualitative (stratification) and quantitative (score) analysis. The fuzzy IT financial fraud risk system is able to work as a first barrier to reflect the adequacy of the information technologies and systems used to avoid risk in the financial fraud governance.
{"title":"Fuzzy Financial Fraud Risk Governance System in an Information Technology Environment","authors":"Marco P. L. Costa, E. Araujo","doi":"10.1109/3ICT53449.2021.9581461","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581461","url":null,"abstract":"The financial fraud risk assessment requires expertise concerning the audit methodology and the risk assessment of business processes. The assessment of financial fraud risks is a significant challenge for independent, external auditors chiefly when dealing with the audit in an information technology (IT) environment. A meta-analysis financial fraud risk governance model taking into account an IT environment and based on fuzzy inference system is proposed in this paper. The fuzzy set theory and fuzzy logic are employed to deal with actual business audits, which do not always concern dichotomic fraud risk conditions. The inputs of the proposed fuzzy financial fraud risk governance system concern meta-analysis input factors related to the fundamental domains of risk in IT audit comprising the (i) effective identity and access protocol, (ii) system development, (iii) control of business operations, and (iv) change in systems or applications. Results demonstrate that the proposed approach enables supporting the operational risk management to promote the operational efficiency by identifying, measuring, and disclosing events (risk conditions) both in terms of qualitative (stratification) and quantitative (score) analysis. The fuzzy IT financial fraud risk system is able to work as a first barrier to reflect the adequacy of the information technologies and systems used to avoid risk in the financial fraud governance.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123423588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581926
S. Prasanth, Kuhaneswaran Banujan, Kumara Btgs
Diabetes Mellitus is commonly found in human beings around the world and this is one of the serious diseases which causes boundless suffering among patients. There are numerous reasons for the prevalence of this disease. It would be better to consider the predictions carried out earlier in this respect, since diabetes is a non - communicable disease and makes a great impact on the health condition of people nowadays. This is the reason why the existing medicinal practices in most hospitals are collecting patients' life history or the record of the disease. This is done for diagnosing diabetes using various medical tests followed by proper treatment for the disease. Machine learning provides an immense contribution to the sector of healthcare. For this research, Pima Indians Diabetes Dataset, obtained from the University of California, Irvine (UCI) machine learning source that included 768 patients' details along with nine attributes had been chosen for a comprehensive investigation of this grave and widespread problem in the health sector. Eventually, an adequate perfect outcome could be achieved and some effective and transparent conclusions were made. Among 768 diabetics, 500 were recognized as positive for the disease while 268 were recognized as negative. Besides, the recorded facts were put into particular supervised machine learning techniques such as Support Vector Machine (SVM), Naïve Bayes (NB), Decision Tree (DT), Artificial Neural Networks (ANN), Linear Discriminant Analysis (LDA), Logistic Regression (LR) and k-nearest neighbors (k-NN). Along with this, bagging and boosting techniques like Random Forest (RF), Extreme Gradient Boosting (XGBoost), LightGBM, and CatBoost too were taken into consideration. In addition, by considering classifiers with the highest accuracies, the final ensemble model was developed with the adaption of SVM, CatBoost and RF to predict the diabetes mellitus. Thus, the model resulted in an accuracy of 86.15%.
{"title":"Hyper Parameter Tuned Ensemble Approach for Gestational Diabetes Prediction","authors":"S. Prasanth, Kuhaneswaran Banujan, Kumara Btgs","doi":"10.1109/3ICT53449.2021.9581926","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581926","url":null,"abstract":"Diabetes Mellitus is commonly found in human beings around the world and this is one of the serious diseases which causes boundless suffering among patients. There are numerous reasons for the prevalence of this disease. It would be better to consider the predictions carried out earlier in this respect, since diabetes is a non - communicable disease and makes a great impact on the health condition of people nowadays. This is the reason why the existing medicinal practices in most hospitals are collecting patients' life history or the record of the disease. This is done for diagnosing diabetes using various medical tests followed by proper treatment for the disease. Machine learning provides an immense contribution to the sector of healthcare. For this research, Pima Indians Diabetes Dataset, obtained from the University of California, Irvine (UCI) machine learning source that included 768 patients' details along with nine attributes had been chosen for a comprehensive investigation of this grave and widespread problem in the health sector. Eventually, an adequate perfect outcome could be achieved and some effective and transparent conclusions were made. Among 768 diabetics, 500 were recognized as positive for the disease while 268 were recognized as negative. Besides, the recorded facts were put into particular supervised machine learning techniques such as Support Vector Machine (SVM), Naïve Bayes (NB), Decision Tree (DT), Artificial Neural Networks (ANN), Linear Discriminant Analysis (LDA), Logistic Regression (LR) and k-nearest neighbors (k-NN). Along with this, bagging and boosting techniques like Random Forest (RF), Extreme Gradient Boosting (XGBoost), LightGBM, and CatBoost too were taken into consideration. In addition, by considering classifiers with the highest accuracies, the final ensemble model was developed with the adaption of SVM, CatBoost and RF to predict the diabetes mellitus. Thus, the model resulted in an accuracy of 86.15%.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130108817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581386
Tamal Das, Saurav Sutradhar, Mrinmoy Das, Simantini Chakraborty, S. Deb
The computational problem of Human Pose Transfer (HPT) is addressed in this paper. HPT in recent days have become an emerging research topic which can be used in fields like fashion design, media production, animation, virtual reality. Given the image of a human subject and a target pose, the goal of HPT is to generate a new image of the human subject with the novel pose. That is, the pose of the target pose is transferred to the human subject. HPT has been carried out in two stages. In stage 1, a rough estimate is generated and in stage 2, the rough estimate is refined with a generative adversarial network. The novelty of this work is the way pose information is represented. Earlier methods used computationally expensive pose representations like 3D DensePose and 18-channel pose heatmaps. This work uses a 3-channel colour image of a stick figure to represent human pose. Different body parts are encoded with different colours. The convolutional neural networks will now have to recognize colours only, and since these colours encode body parts, eventually the network will also learn about the position of the body parts.
{"title":"Implementation of a WGAN-GP for Human Pose Transfer using a 3-channel pose representation","authors":"Tamal Das, Saurav Sutradhar, Mrinmoy Das, Simantini Chakraborty, S. Deb","doi":"10.1109/3ICT53449.2021.9581386","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581386","url":null,"abstract":"The computational problem of Human Pose Transfer (HPT) is addressed in this paper. HPT in recent days have become an emerging research topic which can be used in fields like fashion design, media production, animation, virtual reality. Given the image of a human subject and a target pose, the goal of HPT is to generate a new image of the human subject with the novel pose. That is, the pose of the target pose is transferred to the human subject. HPT has been carried out in two stages. In stage 1, a rough estimate is generated and in stage 2, the rough estimate is refined with a generative adversarial network. The novelty of this work is the way pose information is represented. Earlier methods used computationally expensive pose representations like 3D DensePose and 18-channel pose heatmaps. This work uses a 3-channel colour image of a stick figure to represent human pose. Different body parts are encoded with different colours. The convolutional neural networks will now have to recognize colours only, and since these colours encode body parts, eventually the network will also learn about the position of the body parts.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132897864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581852
Tehreem Fatima Zaidi, Omar Farooq
Sleep scoring is proved of having major impact on treating various sleep oriented disorders. But achieving this task manually is very time consuming and long process. Hence, an efficient computer based system is required to carry out the epoch based multi-class sleep stages classification. Among all the polysomnography (PSG) signals, Electroencephalogram (EEG) provides valuable information for sleep related analysis by sensing and monitoring the brain functions. Hence in this study, an effective computer-assisted technique is proposed for classifying various sleep stages. Firstly, the input signal is segmented into 30 seconds epochs as per the Rechtschaffen and Kales criteria (1968). From the six EEG sub-bands, five features such as Normalized power, Movement, Mean Absolute Deviation, Inter-quartile range and Fourier Synchrosqueezed transform are extracted. The feature vector is subjected to 10-fold cross-validation for 2-class to 6-class classification. The results are obtained after computing accuracy, sensitivity, specificity and Cohen Kappa's statistics using SVM classifier. The highest accuracy of 98.4%, 95.8%, 94.3%, 93.4% and 92.5% is achieved for 2-class to 6-class classification respectively. Also, subject specific results are computed for 5-class problem for which F1 score is evaluated for each stage. This proposed method offers improved results as compared with other previous studies.
{"title":"Automatic Classification of Sleep Stages using EEG Sub-bands based Time-spectral Features","authors":"Tehreem Fatima Zaidi, Omar Farooq","doi":"10.1109/3ICT53449.2021.9581852","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581852","url":null,"abstract":"Sleep scoring is proved of having major impact on treating various sleep oriented disorders. But achieving this task manually is very time consuming and long process. Hence, an efficient computer based system is required to carry out the epoch based multi-class sleep stages classification. Among all the polysomnography (PSG) signals, Electroencephalogram (EEG) provides valuable information for sleep related analysis by sensing and monitoring the brain functions. Hence in this study, an effective computer-assisted technique is proposed for classifying various sleep stages. Firstly, the input signal is segmented into 30 seconds epochs as per the Rechtschaffen and Kales criteria (1968). From the six EEG sub-bands, five features such as Normalized power, Movement, Mean Absolute Deviation, Inter-quartile range and Fourier Synchrosqueezed transform are extracted. The feature vector is subjected to 10-fold cross-validation for 2-class to 6-class classification. The results are obtained after computing accuracy, sensitivity, specificity and Cohen Kappa's statistics using SVM classifier. The highest accuracy of 98.4%, 95.8%, 94.3%, 93.4% and 92.5% is achieved for 2-class to 6-class classification respectively. Also, subject specific results are computed for 5-class problem for which F1 score is evaluated for each stage. This proposed method offers improved results as compared with other previous studies.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130480131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581878
Sofya Bouchenak, Rachid Merzougui, F. Harrou
Recently, massive MIMO (multiple-input multiple-output) technology has been employed to improve the coverage and capacity of 5G cellular networks. This paper investigates the impact of different factors on the performance of a hybrid MIMO system for 5G. This study is essential to find a suitable configuration when designing a hybrid MIMO system for 5G. Specifically, we investigate the effect of changing several variables, including the number of users, the number of transmitters, receiver antennas, the type of used modulation, and noisy data on the performance of a hybrid MIMO system for 5G. Furthermore, the Bit Error Rate (BER) is computed under different considered scenarios and used as an indicator of the effectiveness. Finally, simulations are conducted to accomplish this study. This assessment provides relevant information about the performance of a hybrid MIMO system for 5G under different circumstances.
{"title":"A hybrid beamforming Massive MIMO system for 5G: Performance assessment study","authors":"Sofya Bouchenak, Rachid Merzougui, F. Harrou","doi":"10.1109/3ICT53449.2021.9581878","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581878","url":null,"abstract":"Recently, massive MIMO (multiple-input multiple-output) technology has been employed to improve the coverage and capacity of 5G cellular networks. This paper investigates the impact of different factors on the performance of a hybrid MIMO system for 5G. This study is essential to find a suitable configuration when designing a hybrid MIMO system for 5G. Specifically, we investigate the effect of changing several variables, including the number of users, the number of transmitters, receiver antennas, the type of used modulation, and noisy data on the performance of a hybrid MIMO system for 5G. Furthermore, the Bit Error Rate (BER) is computed under different considered scenarios and used as an indicator of the effectiveness. Finally, simulations are conducted to accomplish this study. This assessment provides relevant information about the performance of a hybrid MIMO system for 5G under different circumstances.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128871581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-29DOI: 10.1109/3ICT53449.2021.9581471
Sourabh Jain, P. Hegade
Recommender systems play the role of leading users to customized suggestions in the broad universe of available possibilities. While producers use it for cross-selling, which suggests additional products or services to customers, consumers use recommender systems to seek items that match their interests and preferences. By establishing a value-added relationship between the system and the customer, recommender systems boost loyalty. In present e-commerce systems, user pattern search, item, and historical analysis is a substantial component of a recommendation system. A better recommendation system based on product specifications and product similarity measures rather than historical data could lead to a progressive change in e-commerce recommendation technologies. This paper proposes a model that uses product specifications and various similarity measures to compute the user recommendations. The model considers product description and specifications to calculate a similarity measure and then uses these similarity values to form clusters of products. Based on the generated cluster of products, relevant products are recommended to the user. The paper presents method analysis of the various measures and matrices using a sample data set. It also compares the results of our model with the traditionally followed model. The proposed methodology promises to build a user-friendly recommendation system.
{"title":"E-commerce Product Recommendation Based on Product Specification and Similarity","authors":"Sourabh Jain, P. Hegade","doi":"10.1109/3ICT53449.2021.9581471","DOIUrl":"https://doi.org/10.1109/3ICT53449.2021.9581471","url":null,"abstract":"Recommender systems play the role of leading users to customized suggestions in the broad universe of available possibilities. While producers use it for cross-selling, which suggests additional products or services to customers, consumers use recommender systems to seek items that match their interests and preferences. By establishing a value-added relationship between the system and the customer, recommender systems boost loyalty. In present e-commerce systems, user pattern search, item, and historical analysis is a substantial component of a recommendation system. A better recommendation system based on product specifications and product similarity measures rather than historical data could lead to a progressive change in e-commerce recommendation technologies. This paper proposes a model that uses product specifications and various similarity measures to compute the user recommendations. The model considers product description and specifications to calculate a similarity measure and then uses these similarity values to form clusters of products. Based on the generated cluster of products, relevant products are recommended to the user. The paper presents method analysis of the various measures and matrices using a sample data set. It also compares the results of our model with the traditionally followed model. The proposed methodology promises to build a user-friendly recommendation system.","PeriodicalId":133021,"journal":{"name":"2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125344187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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